E- Scholar: Improving academic search through combining metasearch with entity extraction

Abstract

Internet has become the essential platform for access, processing and dissemination of scientific data and literature. To greatly enhance academic search, a novel academic metasearch engine called e-Scholar is presented in this paper, which is combined with entity extraction techniques to link the relevant data in scientific databases with the literature. We demonstrate a scalable architecture implementing the functions with little overhead. We also present our innovational approach to linking techniques. We demonstrate the features and significant system performance improvements by comparing e-Scholar with other academic search engines.